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Evaluating the necessity of the multiple metrics for assessing explainable AI: A critical examination

Neurocomputing (Amsterdam), 2024-10, Vol.602, p.128282, Article 128282

2024

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A two-stage image enhancement and dynamic feature aggregation framework for gastroscopy image segmentation

Neurocomputing (Amsterdam), 2024-10, Vol.601, p.128228, Article 128228

2024

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Explainable artificial intelligence: A survey of needs, techniques, applications, and future direction

Neurocomputing (Amsterdam), 2024-09, Vol.599, p.128111, Article 128111

2024

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Trainable pruned ternary quantization for medical signal classification models

Neurocomputing (Amsterdam), 2024-10, Vol.601, p.128216, Article 128216

2024

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A review of privacy-preserving research on federated graph neural networks

Neurocomputing (Amsterdam), 2024-10, Vol.600, p.128166, Article 128166

2024

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Towards explainable fake news detection and automated content credibility assessment: Polish internet and digital media use-case

Neurocomputing (Amsterdam), 2024-12, Vol.608, p.128450, Article 128450

2024

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An end-to-end image-text matching approach considering semantic uncertainty

Neurocomputing (Amsterdam), 2024-11, Vol.607, p.128386, Article 128386

2024

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Multi-scale contrastive adaptor learning for segmenting anything in underperformed scenes

Neurocomputing (Amsterdam), 2024-11, Vol.606, p.128395, Article 128395

2024

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Preventing harm to the rare in combating the malicious: A filtering-and-voting framework with adaptive aggregation in federated learning

Neurocomputing (Amsterdam), 2024-11, Vol.604, p.128317, Article 128317

2024

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Contrastive optimized graph convolution network for traffic forecasting

Neurocomputing (Amsterdam), 2024-10, Vol.602, p.128249, Article 128249

2024

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Targeted context attack for object detection

Neurocomputing (Amsterdam), 2024-10, Vol.601, p.128208, Article 128208

2024

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Interpretability of deep neural networks: A review of methods, classification and hardware

Neurocomputing (Amsterdam), 2024-10, Vol.601, p.128204, Article 128204

2024

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Understanding mobile GUI: From pixel-words to screen-sentences

Neurocomputing (Amsterdam), 2024-10, Vol.601, p.128200, Article 128200

2024

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Incipient fault detection based on dense feature ensemble net

Neurocomputing (Amsterdam), 2024-10, Vol.601, p.128211, Article 128211

2024

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On Representation Learning-based Methods for Effective, Efficient, and Scalable Code Retrieval

Neurocomputing (Amsterdam), 2024-10, Vol.600, p.128172, Article 128172

2024

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PiClick: Picking the desired mask from multiple candidates in click-based interactive segmentation

Neurocomputing (Amsterdam), 2024-09, Vol.599, p.128083, Article 128083

2024

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HyperMAML: Few-shot adaptation of deep models with hypernetworks

Neurocomputing (Amsterdam), 2024-09, Vol.598, p.128179, Article 128179

2024

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VIFNet: An end-to-end visible–infrared fusion network for image dehazing

Neurocomputing (Amsterdam), 2024-09, Vol.599, p.128105, Article 128105

2024

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LSMOTE: A link-based Synthetic Minority Oversampling Technique for binary imbalanced datasets

Neurocomputing (Amsterdam), 2024-12, Vol.608, p.128372, Article 128372

2024

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Neural networks-based composite learning control for robotic systems with predefined time error constraints

Neurocomputing (Amsterdam), 2024-12, Vol.608, p.128414, Article 128414

2024

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Attention-based fusion network for RGB-D semantic segmentation

Neurocomputing (Amsterdam), 2024-12, Vol.608, p.128371, Article 128371

2024

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Observer-based time-varying formation-containment tracking of general linear multi-agent systems with input saturation

Neurocomputing (Amsterdam), 2024-12, Vol.608, p.128382, Article 128382

2024

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Modeling the skeleton-language uncertainty for 3D action recognition

Neurocomputing (Amsterdam), 2024-12, Vol.608, p.128426, Article 128426

2024

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Recent progress, challenges and future prospects of applied deep reinforcement learning : A practical perspective in path planning

Neurocomputing (Amsterdam), 2024-12, Vol.608, p.128423, Article 128423

2024

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Asymptotic stability analysis of time delayed fractional-order replicator dynamics with government’s intervention

Neurocomputing (Amsterdam), 2024-12, Vol.608, p.128359, Article 128359

2024

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Evaluating the necessity of the multiple metrics for assessing explainable AI: A critical examination

A two-stage image enhancement and dynamic feature aggregation framework for gastroscopy image segmentation

Explainable artificial intelligence: A survey of needs, techniques, applications, and future direction

Trainable pruned ternary quantization for medical signal classification models

A review of privacy-preserving research on federated graph neural networks

Towards explainable fake news detection and automated content credibility assessment: Polish internet and digital media use-case

An end-to-end image-text matching approach considering semantic uncertainty

Multi-scale contrastive adaptor learning for segmenting anything in underperformed scenes

Preventing harm to the rare in combating the malicious: A filtering-and-voting framework with adaptive aggregation in federated learning

Contrastive optimized graph convolution network for traffic forecasting

Targeted context attack for object detection

Interpretability of deep neural networks: A review of methods, classification and hardware

Understanding mobile GUI: From pixel-words to screen-sentences

Incipient fault detection based on dense feature ensemble net

On Representation Learning-based Methods for Effective, Efficient, and Scalable Code Retrieval

PiClick: Picking the desired mask from multiple candidates in click-based interactive segmentation

HyperMAML: Few-shot adaptation of deep models with hypernetworks

VIFNet: An end-to-end visible–infrared fusion network for image dehazing

LSMOTE: A link-based Synthetic Minority Oversampling Technique for binary imbalanced datasets

Neural networks-based composite learning control for robotic systems with predefined time error constraints

Attention-based fusion network for RGB-D semantic segmentation

Observer-based time-varying formation-containment tracking of general linear multi-agent systems with input saturation

Modeling the skeleton-language uncertainty for 3D action recognition

Recent progress, challenges and future prospects of applied deep reinforcement learning : A practical perspective in path planning

Asymptotic stability analysis of time delayed fractional-order replicator dynamics with government’s intervention

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